首页|碳排放多模态数据资源融合服务模式研究

碳排放多模态数据资源融合服务模式研究

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[目的/意义]构建多模态数据资源融合服务模型,探求碳排放多模态数据资源融合服务模式,完善企业碳排放服务模式、强化数据融合在碳排放服务中的重要作用、为企业碳排放服务体系建设提供新思路。[方法/过程]深入分析碳排放多模态数据资源融合服务的特征、服务要素以及融合过程,并构建碳排放多模态数据资源融合服务模型。[结果/结论]构建三种基于碳排放多模态数据融合的服务模式,包括基于多模态碳排放数据融合的企业知识服务模式、基于多模态数据融合的企业碳资产管理服务模式以及基于多模态数据融合的企业碳排放核算服务模式。[创新/局限]提出碳排放多模态数据资源融合服务具有系统性和创新性,但具体服务应用仍处于理论探索阶段。
Multimodal Data Resource Integration Service mode for Carbon Emissions
[Purpose/significance]Build a multimodal data resource integration service model,explore the multimodal data resource in-tegration service mode for carbon emissions,improve the enterprise carbon emission service mode,strengthen the important role of data fusion in carbon emission services,and provide new ideas for the construction of enterprise carbon emission service system.[Method/process]Thoroughly analyze the characteristics,service elements,and integration process of carbon emission multimodal data resource integration services,and construct a carbon emission multimodal data resource integration service model.[Result/conclu-sion]Build three service models based on multimodal carbon emission data fusion,including enterprise knowledge service model based on multimodal carbon emission data fusion,enterprise carbon asset management service model based on multimodal data fusion,and enterprise carbon emission accounting service model based on multimodal data fusion.[Innovation/limitation]The proposal of multimodal data resource integration services for carbon emissions is systematic and innovative,but the specific service applications are still in the theoretical exploration stage.

carbon emissionsmultimodal datamultisource dataresource integrationservice mode

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吉林建筑大学图书馆,吉林长春 130000

碳排放 多模态数据 多源数据 资源融合 服务模式

2023年吉林省教育厅人文社科研究项目

JJKH20230355SK

2024

情报科学
中国科学技术情报学会 吉林大学

情报科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.275
ISSN:1007-7634
年,卷(期):2024.42(5)